Electric Motor Fault Analysis Based on Windowed-Zeropadded FFT

Abstract

This paper proposes a new method for motor fault analysis. Windowed-Zeropadded FFT is applied as a signal processing method. The method is based on both windowing and zero-padding of the signal. The expectation is that the method can provide harmonic amplitude more visible for the purpose of motor fault analysis. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. The method can provide more visible harmonic amplitudes than other methods, because it can eliminate the leakages and provide smoother plotting. Thus, it can help improve accuracy of motor condition classification and the prediction of the fault severity levels.